The correlation among the mean δ 15 N signatures of these primary consumers and the remaining members of the communities was highly significant (p< 0.001, adjusted R 2 = 0.73) ( Fig 6 ).
Excerpts
There was also a directionally similar borderline significant difference between inverted faces and angry faces ( Mdn = 261.68 ms), Z = 2.50, p = .001, r = .30.
The differences in genotype frequencies between all pairs of populations were highly significant ( P <0.001) ( Table 4 ).
The time budgets of individual insects showed that Adalia spent a larger percentage of time foraging on the aphid-infested plant than Chysoperla (41% vs 25%; F 1,118 = 5.08; P = 0.026) and there was a highly significant effect of the predator combination within species (F 6,112 = 7.74; P<0.001; Fig. 4 ).
The differences were highly significant ( F = 67.81; df = 2,8; P <0.001).
Cassava root fresh weight (yield) in Yopal was also significantly affected by AMF inoculation with a highly significant effect (ANOVA F ratio = F (1,3) 16104.27, P ≤0.001).
There was a highly significant positive relationship between duration of dormancy and life span ( nurag : d.f. = 35, t = 14.88, p<0.001; jurtina : d.f. = 48, t = 11.00, p<0.001).
All population differentiation statistics were highly significant ( P < 0.001) for both rivers.
When perceived competence is included as an independent variable in the regression equation model, the predictive effect of students’ perceived teacher support on exercise participation is partially significant, with statistical differences (F = 35.528, P<0.001), explaining 75.0% of the variance, indicating that perceived competence serves as a complete mediating role between teacher competence support and exercise participation, supporting hypothesis H2.
The enrichment for bands on 13q and 14q was highly significant (p<0.001 for the family-wise error rate, the most stringent criterion in the Broad Institute implementation of GSEA).
Thus, the difference in the number of mice with retinal degeneration between NaIO 3 -treated αB crystallin knockout mice and NaIO 3 -treated wild type mice was highly significant (P<0.001).
This was confirmed by Analysis of Similarity (ANOSIM), where there was no significant difference between cecal versus rectal samples (R = −0.043, P = 0.89), but a highly significant difference between sampling techniques (R = 0.47, P = 0.001) [41] .
Results showed that both linear and robust regressions were highly significant (linear regression: beta = 0.60, p = 0.001, effect size = 0.94; robust regression: beta = 0.20, p = 0.004) thus indicating that the internal connectivity of the identified regions significantly correlated with discounting behavior.
We pooled the absolute errors from both computations and applied matched pairs t-test and Wilcoxon signed rank test, which were highly significant with p = 0.001 and p = 0.003 for the two-tailed test, respectively.
Under drought-stressed conditions, the ANOVA revealed significant (p<0.05) difference among genotypes for plant height (cm), SCMR, specific leaf area (cm 2 g -1 ) and shelling percentage, and highly significant differences(p<0.001) for days to 50% flowering, number of primary branches, leaf relative water content, haulm weight (g plant -1 ), hundred seed weight (g), pod weight (g plant -1 ), total biomass weight (g plant -1 ) and harvest index (%).
To summarize these results in a single conditional logit model, we added all highly significant (i.e. p<0.001) interactions to a backward-stepwise method of estimating the conditional logit model (Model 2).
The variability in diversity between study years was highly significant (P < 0.001).
A paired-sample t-test comparing N1 and MMNm latencies of the left (mean latencies of all subjects: MMNm peak: 164.5 ms, N1 peak: 124.0 ms) and right (MMNm peak: 165.6 ms, N1 peak: 125.6 ms) hemisphere in the perceptual condition reveal a highly significant difference between the latencies of those two components [left hemisphere: t (25) = 5.563, p <.001, right hemisphere: t (25) = 7.132, p <.001], showing that the MMNm peaks are not intermixed with the N1 peaks.
All differences between l parameters in the three reward magnitudes in cognitive effort conditions were highly significant ( p < .001 in all cases).
Multivariate regression models adjusting for age, sex and variables with highly significant associations to MMP-9 in univariate analyses (p<0.001) were performed in addition. 3) Both the total risk load model and the regression models on single risk factors were performed with and without adjustment for CRP.
Therefore, based on the correlation analysis results, this research selected the bands highly significant correlated ( p < 0.001, | r | > 0.235) with SSC from the optimal mathematically transformed spectrum ((1/ R )′) and the optimal decomposition scales of wavelet transformations as the feature bands.
There was a highly significant correlation between the degree of cumulative exposure to ARBs and risk of all cancers combined (slope = 0.07 [95% CI 0.03 to 0.11], p<0.001), and also lung cancer (slope = 0.16 [95% CI 0.05 to 0.27], p = 0.003).
The comparison of WHO patient care indicators between APTS and Non-APTS facilities related to the average dispensing time, percentage of drugs actually dispensed and percentage of drugs adequately labeled, showed highly significant differences (p<0.001) ( Table 3 ).
There was a highly significant correlation between pressure and secretory response (p < 0.001, Pearson r = 0.99).
Since the correlation coefficient of all regressions were highly significant (r≥0.95; p ≤0.001), we were able to produce standard curves using blood samples of each mouse (absorbance at 540 nm versus blood volume) in order to provide a rough estimation of the blood intake by each individual mosquito.